Azure AI Architect - Solution Design

About Us :

TechRBM is a rapidly scaling technology partner to global enterprises, specializing in AI, Cloud, Data Engineering, and Digital Transformation. With a team strength of 200+ professionals and scaling toward 500, we are building AI-first cloud architecture leadership to deliver secure, scalable, and intelligent enterprise platforms.

Role Overview :

We are seeking a Hands-on Azure AI Architect with expertise in Azure cloud infrastructure, DevOps automation, and programming in .NET/C# or Python, combined with AI solution design and deployment.

This role blends cloud architecture, AI engineering, and hands-on coding-enabling scalable AI-driven applications for industries such as banking, healthcare, retail, and digital platforms.

Key Responsibilities :

- Architect and implement Azure-based AI solutions leveraging Azure Cognitive Services, Azure ML, and Azure OpenAI.

- Integrate AI/ML workloads into scalable cloud-native and hybrid infrastructures.

- Design and automate CI/CD and MLOps pipelines (Azure DevOps, GitHub Actions).

- Build automation scripts and tools using .NET/C# or Python.

- Manage and optimize Windows Server and Linux/Unix environments for AI workloads.

- Deploy and orchestrate AI-driven applications on Kubernetes/AKS.

- Ensure Responsible AI practices, security, compliance, and governance across AI deployments.

- Set up observability and monitoring frameworks for AI services (App Insights, Azure Monitor, Grafana, ELK/EFK).

- Collaborate with developers, data scientists, and business teams to translate AI use cases into production-grade solutions.

- Mentor engineers on Azure AI, DevOps, and automation best practices.

Required Skills & Experience :

- 8-12 years of professional experience in cloud architecture, DevOps, or infrastructure engineering, with at least 3+ years in AI/ML solution design.

- Strong expertise in Azure AI services : Cognitive Services, Azure ML, Azure OpenAI, Synapse, Data Lake, Bot Services.

- Hands-on programming in .NET/C# or Python (must-have).

- Experience with MLOps frameworks (Azure ML Pipelines, MLflow, Kubeflow).

- Proficiency in CI/CD, IaC (ARM, Bicep, Terraform), and Kubernetes/AKS.

- Expertise in Windows Server (primary) and Linux/Unix (secondary) environments.

- Familiarity with data engineering pipelines and AI integration patterns.

- Knowledge of Responsible AI, security, compliance, and governance frameworks.

- Bonus : Experience deploying GenAI solutions with Azure OpenAI or integrating third-party AI APIs.

Soft Skills :

- Ability to balance strategic design with hands-on execution.

- Excellent problem-solving and analytical abilities.

- Strong client-facing and communication skills.

- Collaborative leadership to mentor and guide cross-functional teams.

Education & Certifications :

- Bachelor's/Master's in Computer Science, IT, or related field.

- Preferred Certifications :

o Microsoft Certified : Azure Solutions Architect Expert

o Microsoft Certified : Azure AI Engineer Associate

o Microsoft Certified : Azure Data Scientist Associate

o Kubernetes CKA/CKAD, Terraform Associate

Why Join Us?

- Shape AI-first cloud architectures for global enterprises.

- Be part of a fast-scaling IT services company with 200+ professionals and global exposure.

- Work with cutting-edge AI, Cloud, and Data solutions.

- Competitive compensation + performance bonuses.

- Inclusive, collaborative, and innovation-driven culture.